Results 61 to 70 of about 12,433 (211)

Audio deepfakes: A survey

Frontiers in Big Data, 2023
A deepfake is content or material that is synthetically generated or manipulated using artificial intelligence (AI) methods, to be passed off as real and can include audio, video, image, and text synthesis. The key difference between manual editing and deepfakes is that deepfakes are AI generated or AI manipulated and closely resemble authentic ...
Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja   +2 more
openaire   +3 more sources

Scenario‐Based AI Literacy Scale (SAILS): Evidence for distinct instrumental and critical‐reflective AI skills and their difference from traditional digital skills

British Journal of Educational Technology, EarlyView.
Abstract Given the increasing integration of Artificial Intelligence (AI) into everyday life and professional contexts, it is essential to investigate learners' existing capabilities regarding AI tools to inform possible interventions to equip them with necessary AI skills, but also advance the theoretical frameworks on digital skills measurement and ...
Christian Scheibenzuber, Olga Chernikova, Johanna Vejvoda, Michael Sailer, Frank Fischer   +4 more
wiley   +1 more source

Too good to be true: Synthetic AI faces are more average than real faces and super‐recognizers know it

British Journal of Psychology, EarlyView.
Abstract The AI revolution has produced synthetic faces that often appear more human than photos of real people. We tested whether individual differences in human face recognition ability explain variation in discriminating AI from real faces. Super‐recognizers – people with exceptional ability to recognize human faces (N = 36) – outperformed a typical
James D. Dunn, David White, Clare A. M. Sutherland, Elizabeth J. Miller, Ben A. Steward, Amy Dawel   +5 more
wiley   +1 more source

Deepfakes Generation and Detection: A Short Survey

Journal of Imaging, 2023
Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate realistic facial samples for both benign and malicious purposes. DeepFakes refer
Zahid Akhtar
doaj   +1 more source

The Deepfake Challenges and Deepfake Video Detection

International Journal of Innovative Technology and Exploring Engineering, 2020
Deepfake is a combination of fake and deep-learning technology. Deep learning is the function of artificial intelligence that can be used to create and detect deepfakes. Deepfakes are created using generative adversarial networks, in which two machine learning models exit.
openaire   +1 more source

Advancing AI, Virtue Enhancement, and the Need for Niebuhrian Virtues of Moral Vigilance

Journal of Religious Ethics, EarlyView.
ABSTRACT This paper considers the possibility of AI being employed to improve moral character from the perspective of an account of virtues that is psychologically realistic (the HEIS model). It is informed by a Christian agapeic ethic oriented toward goods of creaturely well‐being that ground right action.
Gregory R. Peterson
wiley   +1 more source

Explainable AI for DeepFake Detection

Applied Sciences
The surge in technological advancements has resulted in concerns over its misuse in politics and entertainment, making reliable detection methods essential.
Nazneen Mansoor, Alexander I. Iliev
semanticscholar   +1 more source

Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms

IEEE Access
Deepfake content-including audio, video, images, and text-synthesized or modified using artificial intelligence is designed to convincingly mimic real content.
Gunwoo Lee, Jungmin Lee, Minkyo Jung, Joseph Lee, Kihun Hong, Souhwan Jung, Yoseob Han   +6 more
doaj   +1 more source

Audio Deepfake Approaches

IEEE Access, 2023
This paper presents a review of techniques involved in the creation and detection of audio deepfakes, the first section provides information about general deep fakes. In the second section, the main methods for audio deepfakes are outlined and subsequently compared.
Ousama A. Shaaban, Remzi Yildirim, Abubaker A. Alguttar   +2 more
openaire   +3 more sources

A Survey on Deepfake Video Detection

IET Biometrics, 2021
Recently, deepfake videos, generated by deep learning algorithms, have attracted widespread attention. Deepfake technology can be used to perform face manipulation with high realism.
Peipeng Yu, Zhihua Xia, Jianwei Fei, Yujiang Lu   +3 more
doaj   +1 more source